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Field
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: Imagine a surgeon operating remotely through a robot—what if the network slows at a critical moment? Even tiny delays can risk patient safety. This PhD project develops new AI approaches to predict network
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• Family allowance: €660 per month (if applicable) The final net salary depends on national taxation and social security regulations in France. What we offer Joining UNVEIL means becoming part of a
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A new approach to minimum colour vision requirements and optimum use of colour signals within Network Rail City St George’s, University of London – School of Health & Medical Sciences Supervisors
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Security and Communication Technology. The workplace will be located in Trondheim. About the project The PhD work will be carried out within the Centre for Quantum Communication Networks and Applications
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) family allowance: €660 / month (if applicable). The final gross and net salary will depend on the country's correction coefficient, national taxation, and social security contributions. International
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-based network analysis Exposure to resilience, reliability engineering, or security analysis (including adversarial/threat modelling) Familiarity with quantum network simulation tools (e.g., NetSquid
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
macromolecular complexes (~5.5 billion frames) [1], and the first MDDB node in France ComPASS, a graph-based method for identifying communication networks in protein–protein and protein–nucleic-acid assemblies [2
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three coupled components. First, a physics-informed graph surrogate model will emulate network hydraulics at scale, representing pipes and assets as a graph and predicting flows, depths, surcharge
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Description We are seeking an outstanding Doctoral Candidate (DC) for a fully funded studentship as part of the prestigious Horizon Europe MSCA Doctoral Network “Advanced Network Connectivity using Harmonious
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of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud-native 5G/6G networks. The project will explore the mechanisms